

Intellias
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is located in a "remote" setting. Key skills include ETL/ELT pipeline development, SQL, cloud data platforms, and Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Cloud #Data Pipeline #Data Architecture #Scala #SQL (Structured Query Language) #Data Warehouse #GCP (Google Cloud Platform) #BI (Business Intelligence) #Agile #Data Engineering #Data Governance #Data Modeling #Data Quality #Strategy #"ETL (Extract #Transform #Load)"
Role description
About Intellias
At Intellias, we help organizations solve complex business challenges through innovative technology solutions. Our teams work on large-scale digital transformation initiatives that enable clients to modernize operations, improve decision-making, and unlock the full value of their data.
We are currently seeking a Senior Data Engineer to join a growing team supporting an enterprise-wide data modernization program.
The Opportunity
As a Senior Data Engineer, you will play a key role in the design, development, and optimization of modern data solutions within a cloud-based analytics ecosystem. Working closely with engineers, architects, and business stakeholders, you will help build scalable data pipelines, support enterprise reporting and analytics, and contribute to the evolution of a modern data platform.
This role is ideal for someone who enjoys solving complex data challenges, building robust transformation frameworks, and contributing to long-term data platform strategy.
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines
Build and optimize data transformation processes within a modern cloud environment
Contribute to enterprise data models and analytics solutions
Collaborate with technical and business stakeholders to deliver high-quality data products
Support data quality, governance, and performance optimization initiatives
Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives
Assist with technical design discussions and contribute to data platform best practices
Required Qualifications
Strong experience designing and developing ETL/ELT pipelines
Experience working with cloud-based data platforms and modern data architectures
Strong SQL and data transformation skills
Experience contributing to enterprise data warehousing and analytics initiatives
Familiarity with semantic modeling, business intelligence, or analytics consumption layers
Experience working in Agile environments
Strong communication and collaboration skills
Fluent English communication skills
Preferred Qualifications
Experience with Google Cloud Platform (GCP)
Experience with modern cloud data warehouse technologies
Exposure to data modeling and data governance practices
Understanding of scalable analytics and reporting architectures
Experience contributing to solution design and technical decision-making
Why Join Intellias?
At Intellias, we are committed to fostering an inclusive and diverse workplace where every employee can thrive. You'll have the opportunity to work on impactful technology initiatives, collaborate with talented professionals, and help shape modern data solutions that drive meaningful business outcomes.
About Intellias
At Intellias, we help organizations solve complex business challenges through innovative technology solutions. Our teams work on large-scale digital transformation initiatives that enable clients to modernize operations, improve decision-making, and unlock the full value of their data.
We are currently seeking a Senior Data Engineer to join a growing team supporting an enterprise-wide data modernization program.
The Opportunity
As a Senior Data Engineer, you will play a key role in the design, development, and optimization of modern data solutions within a cloud-based analytics ecosystem. Working closely with engineers, architects, and business stakeholders, you will help build scalable data pipelines, support enterprise reporting and analytics, and contribute to the evolution of a modern data platform.
This role is ideal for someone who enjoys solving complex data challenges, building robust transformation frameworks, and contributing to long-term data platform strategy.
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines
Build and optimize data transformation processes within a modern cloud environment
Contribute to enterprise data models and analytics solutions
Collaborate with technical and business stakeholders to deliver high-quality data products
Support data quality, governance, and performance optimization initiatives
Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives
Assist with technical design discussions and contribute to data platform best practices
Required Qualifications
Strong experience designing and developing ETL/ELT pipelines
Experience working with cloud-based data platforms and modern data architectures
Strong SQL and data transformation skills
Experience contributing to enterprise data warehousing and analytics initiatives
Familiarity with semantic modeling, business intelligence, or analytics consumption layers
Experience working in Agile environments
Strong communication and collaboration skills
Fluent English communication skills
Preferred Qualifications
Experience with Google Cloud Platform (GCP)
Experience with modern cloud data warehouse technologies
Exposure to data modeling and data governance practices
Understanding of scalable analytics and reporting architectures
Experience contributing to solution design and technical decision-making
Why Join Intellias?
At Intellias, we are committed to fostering an inclusive and diverse workplace where every employee can thrive. You'll have the opportunity to work on impactful technology initiatives, collaborate with talented professionals, and help shape modern data solutions that drive meaningful business outcomes.






